Taking stock of youth and adult educational policies in Chile and Peru in a changing landscape
Bibliographic record
Abstract
This article explores the framing of youth and adult education (YAE) policies in two Latin American countries, namely Chile and Peru. It takes their participation in PIAAC as a contextual starting point to unravel the problems explicitly or implicitly framed in YAE policies and their root causes, as understood by key policy stakeholders. We found that policy documents specifically addressing YAE are not only scarce, but also the existing ones tend to be either too broad or too narrow in relation to how YAE is understood. The results suggest that in both countries, there exists a widespread disregard for YAE, a limited perspective on the field, and a generalised lack of funding for YAE. Under these conditions, participation in a study like PIAAC is primarily motivated by considerations unrelated to education, thus resulting in a very limited impact on YAE policy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".